The expected outcome of an experiment, where the outcomes have discrete values, is the sum of the values of each outcome multiplied by the probability of that value occurring.
For continuous variables, it is the integral of each value multiplied by the probability of that value being attained.
The expected value for a variable is the [arithmetic] mean for that variable.
Note, though, that the arithmetic mean may be unrealisable. For example, the expected value for the roll of a fair die is
1*(1/6) + 2*(1/6) + 3*(1/6) + 4*(1/6) + 5*(1/6) + 6*(1/6) = 21/6 = 31/2. And no matter how hard you try, you will not roll 31/2! What the expected value says is that, if you roll the die many times, the average of all the values that you get will be approximately 31/2.
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what is expected is to see if the outcome of the factor increases or decreses
the definition of possible outcome is the possibility of something happening.
Fair means unbiased. That is to say, the expected outcome of a set of trials is the same as what would be expected on theoretical grounds.
Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.
The expected outcome after completion of the MIT sequence is increased communication through production of intelligible word groups. Patients are typically able to form short sentences of 3-5 words, but more complex communication may also be possible